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Can RE Help Better Prepare Industrial AI for Commercial Scale?
Siemens Digital Industries, Germnay.
RISE Research Institutes of Sweden. Lund University, Sweden.ORCID iD: 0000-0001-7879-4371
University of Cologne, Germany.
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.
2022 (English)In: IEEE Software, ISSN 0740-7459, E-ISSN 1937-4194, Vol. 39, no 6, p. 8-12Article in journal (Refereed) Published
Abstract [en]

This issue marks the start of my term as department editor for the “Requirements” column. I very much look forward to exploring contemporary aspects of requirements and requirements engineering (RE) in the coming years! As an institute researcher with RISE, I primarily work in strictly regulated domains, in which requirements are cornerstones in the development activities. Please check my introduction in the September/October 2022 issue of IEEE Software for more about my background. In this issue—featuring a theme that perfectly matches my current research interests—we discuss RE4AI from the perspective of Siemens Digital Industries. Referring to this as industrial artifical intelligence (AI), we share insights from our numerous chats about this topic in the last two years, including formal interviews with key stakeholders. In this column, we argue that the business side of AI has been underexplored—and that RE can help us forward.

Place, publisher, year, edition, pages
IEEE Computer Society , 2022. Vol. 39, no 6, p. 8-12
Keywords [en]
'current, Artifical intelligence, Development activity, Look-forward, Requirement engineering, Research interests, Siemens, Requirements engineering
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-61224DOI: 10.1109/MS.2022.3196205Scopus ID: 2-s2.0-85141637687OAI: oai:DiVA.org:ri-61224DiVA, id: diva2:1715395
Available from: 2022-12-01 Created: 2022-12-01 Last updated: 2022-12-01Bibliographically approved

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